- Your expertise in data platform engineering will drive the creation of a robust and intelligent system, enhancing the healthcare experience for patients and clinicians alike
- Lead the design and implementation of the CDA data platform, ensuring it is scalable, secure, and optimized for AI-driven applications
- Collaborate closely with the CDA team, including AI researchers, software developers, and healthcare domain experts, to define and refine the platform's architecture
- Develop and maintain the backend infrastructure, focusing on data ingestion, storage, processing, and retrieval systems
- Implement data modeling and database design to support complex healthcare data structures and relationships
- Integrate search technologies and natural language processing (NLP) capabilities to enable conversational search, semantic search, and summarization features
- Build and optimize data pipelines using ETL/ELT processes and tools like Kafka, Flink, and RabbitMQ for efficient data flow
- Ensure data security and privacy by implementing access controls, encryption, and compliance with healthcare regulations
- Mentor and guide junior engineers, fostering a culture of knowledge-sharing and technical excellence
Stay updated with the latest advancements in cloud-native AI/ML technologies and propose innovative solutions to enhance the CDA platform *Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.**